2014
DOI: 10.20955/wp.2014.005
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Risk Aversion at the Country Level

Abstract: In this paper the authors estimate the coefficient of relative risk aversion for 75 countries using data on self-reports of personal well-being from the Gallup World Poll. Their analysis suggests that the coefficient of relative risk aversion varies closely around one, which corresponds to a logarithmic utility function. The authors conclude that their results support the use of the log utility function in numerical simulations.

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Cited by 38 publications
(23 citation statements)
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“…CRRA is commonly assumed in developing‐country studies and the power risk aversion function has been widely used in studies of risk preferences in these settings (Ahmed et al., ; de Brauw and Eozenou, ; Gandelman and Hernández‐Murillo, ; Harrison et al., ; Liu, ; Szpiro and Outreville, ; Tanaka et al., ). A key advantage of a CRRA specification is that the coefficient of relative risk aversion, λ, is a unit‐free elasticity, making estimates across studies directly comparable…”
Section: Simulation Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…CRRA is commonly assumed in developing‐country studies and the power risk aversion function has been widely used in studies of risk preferences in these settings (Ahmed et al., ; de Brauw and Eozenou, ; Gandelman and Hernández‐Murillo, ; Harrison et al., ; Liu, ; Szpiro and Outreville, ; Tanaka et al., ). A key advantage of a CRRA specification is that the coefficient of relative risk aversion, λ, is a unit‐free elasticity, making estimates across studies directly comparable…”
Section: Simulation Modelmentioning
confidence: 99%
“…Szpiro and Outreville () considered risk preferences in 31 countries (20 developed and 11 developing countries), and their estimated values of CRRA in the developing countries vary from 1.19 to 4.87, with a mean value equal to 2.89. Gandelman and Hernandez‐Murillo () estimated the value of CRRA for 23 developed and 52 developing countries, with results for the developing countries falling in the range of [0.04, 2.96] with an average equal to 1.00.…”
Section: Simulation Modelmentioning
confidence: 99%
“…Regarding the risk aversion parameter, the research 42 uses the data on the satisfaction and personal well-being of individuals in 80 countries and classify Croatia as the developed country. The average risk aversion coefficient is 1.01, and the conclusion 42 is that their result supports logarithmic utility function. Accordingly, the parameter of risk aversion is 1, which is in line with the calibration of Galì and Monacelli.…”
Section: The Calibration Of Dsge Model With Financial Frictions For Cmentioning
confidence: 85%
“…This purely mechanical restriction implies that the negative effect of output volatility on investment requires γ < 1. Although empirical estimates of γ vary broadly Gandelman and Hernandez-Murillo ( 2015 ) suggest that the most widely accepted values of γ lie between 1 and 3. These values of γ imply a positive effect of output volatility on investment.…”
Section: Theoretical Backgroundmentioning
confidence: 99%